ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W1, 201-209, 2016
https://doi.org/10.5194/isprs-annals-IV-2-W1-201-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
05 Oct 2016
DATA STRUCTURE FOR PROGRESSIVE VISUALISATION AND EDITION OF VECTORIAL GEOSPATIAL DATA
J. Gaillard1,2, A. Peytavie1, and G. Gesquière1 1Univ. Lyon, LIRIS, UMR 5205 62622, Villeurbanne, France
2Oslandia, paris, France
Keywords: 3D, Visualisation, Web, Geospatial Abstract. 3D mock-ups of cities are becoming an increasingly common tool for urban planning. Sharing the mock-up is still a challenge since the volume of data is so high. Furthermore, the recent surge in low-end, mobile devices requires developers to carefully control the amount of data they process. In this paper, we present a hierarchical data structure that allows the streaming of vectorial data. Loosely based on a quadtree, the structure stores the data in tiles and is organised following a weight function which allows the most relevant data to be displayed first. The relevance of a feature can be measured by its geometry and semantic attributes, and can vary depending on the application or client type. Tiles can be limited in size (number of features or triangles) for the client to be able to control resource consumption. The article also presents algorithms for the addition or removal of features in the data structure, opening the path for the interactive edition of city data stored in a database.
Conference paper (PDF, 1243 KB)


Citation: Gaillard, J., Peytavie, A., and Gesquière, G.: DATA STRUCTURE FOR PROGRESSIVE VISUALISATION AND EDITION OF VECTORIAL GEOSPATIAL DATA, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W1, 201-209, https://doi.org/10.5194/isprs-annals-IV-2-W1-201-2016, 2016.

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